Maschinelles Lernen für die Produktentwicklung

What it is about

This module conveys methods of machine learning and their use in product development. You will learn to understand ML models and apply them practically, quantify uncertainties, and use probabilistic models and optimization procedures for design-oriented tasks.

What you will be able to do

• Understand foundations of machine learning
• Apply models for fast design evaluation
• Analyse uncertainties in design processes
• Use probabilistic models for forecasting and experiments
• Apply learned methods to model generators to obtain design proposals

What the module consists of

• VorlesungDelivery of theoretical foundations and demonstration of more complex derivations
• Programmierbeispiele und ÜbungenPractical deepening of the content, usually in a mechanical engineering context
• SprechstundenDiscussion of the exercises and discussion of different solution proposals

Teaching method

• VorlesungsfolienIntroduction to concepts and structure of the material
• Handschriftliche Notizen auf Tablet-PCIllustration and derivation of more complex relationships
• Interaktive Elemente (Mentimeter, Fragen)Fosters interaction and discussion during the lecture
• Programmierte Beispiele & SelbststudiumsübungenEnable practical experience and deepening